Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(message = FALSE, fig.width=6, fig.height = 4)
if (any(!sapply(c("WeightIt", "CBPS"), requireNamespace, quietly = TRUE))) knitr::opts_chunk$set(eval = FALSE)
## -----------------------------------------------------------------------------
library(cobalt)
data("lalonde", package = "cobalt")
w.out1 <- WeightIt::weightit(
treat ~ age + educ + married + nodegree + race + re74 + re75,
data = lalonde, estimand = "ATE", method = "ps")
## -----------------------------------------------------------------------------
set.cobalt.options(binary = "std")
## -----------------------------------------------------------------------------
love.plot(w.out1)
## ---- eval = FALSE------------------------------------------------------------
# #This produces the same output as the prior block but with
# #the additional covariates included in the formula.
# love.plot(treat ~ age + educ + married + nodegree + race + re74 + re75 +
# I(age^2) + I(educ^2), data = lalonde, weights = get.w(w.out1),
# method = "weighting", estimand = "ATE")
## -----------------------------------------------------------------------------
love.plot(w.out1,
drop.distance = TRUE,
var.order = "unadjusted",
abs = TRUE,
line = TRUE,
thresholds = c(m = .1))
## -----------------------------------------------------------------------------
new.names <- c(age = "Age (Years)",
educ = "Education (Years)",
married = "Married (Y/N)",
nodegree = "Degree Earned (Y/N)",
race_white = "Race: White",
race_black = "Race: Black",
race_hispan = "Race: Hispanic",
re74 = "Earnings in 1974 ($)",
re75 = "Earnings in 1975 ($)"
)
## -----------------------------------------------------------------------------
love.plot(w.out1,
drop.distance = TRUE,
var.order = "unadjusted",
abs = TRUE,
line = TRUE,
thresholds = c(m = .1),
var.names = new.names,
colors = c("red", "blue"),
shapes = c("triangle filled", "circle filled"))
## -----------------------------------------------------------------------------
library(ggplot2)
love.plot(w.out1,
drop.distance = TRUE,
var.order = "unadjusted",
abs = TRUE,
line = TRUE,
thresholds = c(m = .1),
var.names = new.names,
colors = c("red", "blue"),
shapes = c("triangle filled", "circle filled"),
sample.names = c("Unweighted", "PS Weighted"),
limits = c(0, .82),
position = c(.75, .25)) +
theme(legend.box.background = element_rect(),
legend.box.margin = margin(1, 1, 1, 1))
## -----------------------------------------------------------------------------
w.out2 <- WeightIt::weightit(
treat ~ age + educ + married + nodegree + race + re74 + re75,
data = lalonde, estimand = "ATE", method = "cbps")
love.plot(treat ~ age + educ + married + nodegree + race + re74 + re75,
data = lalonde, estimand = "ATE",
weights = list(w1 = get.w(w.out1),
w2 = get.w(w.out2)),
var.order = "unadjusted",
abs = TRUE,
line = TRUE,
thresholds = c(m = .1),
var.names = new.names,
colors = c("red", "blue", "darkgreen"),
shapes = c("triangle filled", "circle filled", "square filled"),
sample.names = c("Unweighted", "PS Weighted", "CBPS Weighted"),
limits = c(0, .82)) +
theme(legend.position = c(.75, .3),
legend.box.background = element_rect(),
legend.box.margin = margin(1, 1, 1, 1))
## -----------------------------------------------------------------------------
love.plot(treat ~ age + educ + married + nodegree + race + re74 + re75,
data = lalonde, estimand = "ATE",
stats = "ks.statistics",
weights = list(w1 = get.w(w.out1),
w2 = get.w(w.out2)),
var.order = "unadjusted",
abs = TRUE,
line = TRUE,
thresholds = c(m = .1),
var.names = new.names,
colors = c("red", "blue", "darkgreen"),
shapes = c("triangle filled", "circle filled", "square filled"),
sample.names = c("Unweighted", "PS Weighted", "CBPS Weighted"),
limits = c(0, .45)) +
theme(legend.position = c(.75, .25),
legend.box.background = element_rect(),
legend.box.margin = margin(1, 1, 1, 1))
## -----------------------------------------------------------------------------
love.plot(treat ~ age + educ + married + nodegree + race + re74 + re75,
data = lalonde, estimand = "ATE",
stats = c("mean.diffs", "ks.statistics"),
weights = list(w1 = get.w(w.out1),
w2 = get.w(w.out2)),
var.order = "unadjusted",
abs = TRUE,
line = FALSE,
thresholds = c(m = .1, ks = .05),
var.names = new.names,
colors = c("red", "blue", "darkgreen"),
shapes = c("triangle filled", "circle filled", "square filled"),
sample.names = c("Unweighted", "PS Weighted", "CBPS Weighted"),
limits = list(m = c(0, .82),
ks = c(0, .45)),
wrap = 20,
position = "top")
## -----------------------------------------------------------------------------
love.plot(w.out1, abs = FALSE,
stats = c("mean.diffs", "variance.ratios"),
drop.distance = TRUE,
var.names = new.names,
thresholds = c(v = 2),
limits = list(m = c(-.9, .9),
v = c(.3, 6)),
shapes = c("circle filled", "circle"),
position = "none",
labels = TRUE,
title = NULL,
wrap = 20,
themes = list(v = theme(legend.position = c(.75, 1.09),
legend.title = element_blank(),
legend.key.size = unit(.02, "npc"))))
## -----------------------------------------------------------------------------
love.plot(w.out1, binary = "raw",
stars = "raw",
drop.distance = TRUE,
var.names = new.names)
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